{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1c63e5c6",
   "metadata": {
    "origin_pos": 0
   },
   "source": [
    "# Deep Convolutional Generative Adversarial Networks\n",
    ":label:`sec_dcgan`\n",
    "\n",
    "In :numref:`sec_basic_gan`, we introduced the basic ideas behind how GANs work. We showed that they can draw samples from some simple, easy-to-sample distribution, like a uniform or normal distribution, and transform them into samples that appear to match the distribution of some dataset. And while our example of matching a 2D Gaussian distribution got the point across, it is not especially exciting.\n",
    "\n",
    "In this section, we will demonstrate how you can use GANs to generate photorealistic images. We will be basing our models on the deep convolutional GANs (DCGAN) introduced in :citet:`Radford.Metz.Chintala.2015`. We will borrow the convolutional architecture that have proven so successful for discriminative computer vision problems and show how via GANs, they can be leveraged to generate photorealistic images.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "0b456c31",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:05:49.882515Z",
     "iopub.status.busy": "2023-08-18T20:05:49.881798Z",
     "iopub.status.idle": "2023-08-18T20:05:53.328369Z",
     "shell.execute_reply": "2023-08-18T20:05:53.327390Z"
    },
    "origin_pos": 2,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "import warnings\n",
    "import torch\n",
    "import torchvision\n",
    "from torch import nn\n",
    "from d2l import torch as d2l"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0fd4f59",
   "metadata": {
    "origin_pos": 4
   },
   "source": [
    "## The Pokemon Dataset\n",
    "\n",
    "The dataset we will use is a collection of Pokemon sprites obtained from [pokemondb](https://pokemondb.net/sprites). First download, extract and load this dataset.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "4e1e6642",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:05:53.332361Z",
     "iopub.status.busy": "2023-08-18T20:05:53.331969Z",
     "iopub.status.idle": "2023-08-18T20:06:05.622575Z",
     "shell.execute_reply": "2023-08-18T20:06:05.621252Z"
    },
    "origin_pos": 6,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Downloading ../data/pokemon.zip from http://d2l-data.s3-accelerate.amazonaws.com/pokemon.zip...\n"
     ]
    }
   ],
   "source": [
    "#@save\n",
    "d2l.DATA_HUB['pokemon'] = (d2l.DATA_URL + 'pokemon.zip',\n",
    "                           'c065c0e2593b8b161a2d7873e42418bf6a21106c')\n",
    "\n",
    "data_dir = d2l.download_extract('pokemon')\n",
    "pokemon = torchvision.datasets.ImageFolder(data_dir)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0db97379",
   "metadata": {
    "origin_pos": 8
   },
   "source": [
    "We resize each image into $64\\times 64$. The `ToTensor` transformation will project the pixel value into $[0, 1]$, while our generator will use the tanh function to obtain outputs in $[-1, 1]$. Therefore we normalize the data with $0.5$ mean and $0.5$ standard deviation to match the value range.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "a5b63415",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:06:05.627439Z",
     "iopub.status.busy": "2023-08-18T20:06:05.626567Z",
     "iopub.status.idle": "2023-08-18T20:06:05.633203Z",
     "shell.execute_reply": "2023-08-18T20:06:05.631934Z"
    },
    "origin_pos": 10,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "batch_size = 256\n",
    "transformer = torchvision.transforms.Compose([\n",
    "    torchvision.transforms.Resize((64, 64)),\n",
    "    torchvision.transforms.ToTensor(),\n",
    "    torchvision.transforms.Normalize(0.5, 0.5)\n",
    "])\n",
    "pokemon.transform = transformer\n",
    "data_iter = torch.utils.data.DataLoader(\n",
    "    pokemon, batch_size=batch_size,\n",
    "    shuffle=True, num_workers=d2l.get_dataloader_workers())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e6b938c1",
   "metadata": {
    "origin_pos": 12
   },
   "source": [
    "Let's visualize the first 20 images.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "bf479017",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:06:05.637169Z",
     "iopub.status.busy": "2023-08-18T20:06:05.636379Z",
     "iopub.status.idle": "2023-08-18T20:06:07.192562Z",
     "shell.execute_reply": "2023-08-18T20:06:07.191504Z"
    },
    "origin_pos": 14,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [
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       "   <g clip-path=\"url(#p88f81830b9)\">\n",
       "    <image xlink:href=\"data:image/png;base64,\n",
       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/z0cffcivP3iPfueYxB9jWmrh6yupCRCVssV6RVItSDzHYubHDCchp70JBhECvSoXIOJKdJKzYNJshSp0bCIz0sOTAWS+M5aqK99lnPuZH0xlUahS6eKVCzPNPD1Jli5IVXY9Aj9K8Ocx/bHPeBrihzFKKUwJBUdSLdvUSg7r9QKlgk3RtYiSlHkQ0R/Noa+Jezlp/CsTyqODAz788ENu3/4IV8aUHLBtA2kYSMMmNos4tkO97rHTMlivSgq2xWgacjaYce9RB9cSeos/Yep1Xj9lOJpwetZjMBwTRjFRkrKx3qBWLbPZXsMwDAwpn7szVseTf1NKaY5ZEhCHY+JwQhxNQaygAtllGVJgSH2VcZwyGsw46ozZe9SjN5gxn8dIw9I5fsumVDQoFUzazSLNWoFGxWP/aMA8jJn6CZNA4ZiCMNFq/UsLJR9JmhInCWmaIk2daDINiZAmSBPTMDEtK4vYDQqugW0aOFGCaxuUCjaubZDEEZPJBNf1EFIuYIw4jjk967G3f8hpp08YxiRK4AcR6/OQgufiuS5OVrIgMsDwnGt8TgUuPS+lUlQSkoYzknBKHE5Ioilp7GuyFko7BiuAoibnpcz8iMFwzml3Qqc/ZTwNiOIEYXkYpo1pe6QqIYp1uiK3i5N5yHgWMfZTsEpYXgXTcjW885UIJcebRJaMMgWObaCTVSZKmEjDxDZNHNvEc7RgNNaV4DomtbKL5ZpEoU+/1ydJQRoWuesbBhEPD4+59fE9Do86BFGCNB2tBvyQarlIrVahkqOy2U4xDEODlU9c8qpvo9KEJPaJgxGxPyL2ByThWAuFJdyoVnZwnLm+/dGc096Eo9MRp70JQRgTJwrHMTFMB9P2SNQMP4wIwyTjhykGE5/+OGDkg+XVKVbXsd0ShmF9RUJRCqEUUimESjVhDUWMR4pNgouDDcLEdSwqJYdm1UIA5ZLNeqPE9kaV3ijgzsHHvPfBB0wDgXQaIA2EMLRRDELm84BKrcZGq8n1V1+j2znl3qMOt+894tpLl3j52hXaa1VsS2KZioLn6Ty+aT7TUUiShDiYEY6Pmff2iP0hSexDmuRYtDb5GaSiFKhEcdKbcHQ25t0PDxlOAsazkDCMkVJQcA0s4WOkEYY/I5UpkSkYzwLsoQFKEPgJxUKJG1vb/Nbv/S9sX7hKe2OTQqHwFQnlnHwkCYJE2aTSRkkLIS2ESpEqwpQJjiVwHQOlQMYClKb4KKWYzUOGY59pKCmaINF2SQkwHYOS5VJvNKk3m9TqdebzGWEUMZ1O6Q0mHDw+RaUx5aJDtexi5lHyyjVqOpIClRL7Y2J/RDTrE/tjknCqI3O1ZD+GcYofxEyDkCRRJHHKo+MRp70xZ70pYaydj6KnXeNqyUFm7kmaQpx5VH6UMJoExIliOI0wHI+S7dFub7K9vU2hWFrQjr5SoSSYRMrBp4BlejpxJAVWOsVKwFESxyzgOhZJqgijkMk85N7DHt1xzCgwcSobeE6Jy1eu43reufSwEEKz1W0H27ZZb29Qqdbol8uMR0Pefe9DejtrbG40uf7Srr5B08A3ljia57pIEqSKmHfvEs2HxPM+aTRbRJRpqoiTlNk8pjOYcXg64uHxgJkfEQQx42nAPIgYzUIcy6TgWlxoV2k3i1zerhNGKWGUMJqE9EdzZn7IbB4xnoZEScqjUx+v7GDVQQltb42VsogvJBSlFEdHR3S7XW7fvs3e3h7T6Yx6o0WjXqfZbOAHAVEY4M8nTOcBYRBz+2FKECfsn4wpWJIwSpj5CQ9OQoLUwik3qVXWcYtVNjY3sTKG5CoUb0hd1yGlxHFsDEOSJlWiKGI+9+n0J4RRjD/32dpsUS66lAsmKppDGuLbJlKkGMTE4xNUNCONZouyvdUhhMAyJQXXpFZycW2TMEqolB3SRMMqOiknaa+VaNWLbLWrJFnEP59HjKY+01nI4emI3lhDLhevXqfR2uLKtTeoVGsLgXxpQLLf73NwcMAHH3zA6dkZUZRQrdVZa63Tbrfp9bpMp2N8f0aKQZim9KcpRidg7EPJ1tSeKFYM5gJhOdSKdeqNFsVylVK5onGgzCNZgF/LpaHjFCkxTQvHcXE9jzDyGY5mhEGAbVvEUQFikzQYQDTDtCSGUBgkyHAIaaiD1sy7MjLtJtBQjmUaFFyLWtkljJMFmXtlhYIQNKoetYpHqegAercVXAvHMfAci95ojpxGRIlgY2Ob9vYlLl66TKFQRMrzxUNfWCj7+/u89957/NVf/RXr7Q0azTWuv/wKuxcusL29xa1btzg7O2UymeCsbSOEIBVw4itOZjHJ9DSDHUy8+gWq1Sbt7cu02xsUi0WQpvaismTRIpWXjTRVzKYTXQE2nVGplFhfX+P48TG9Xo/9u49JUkWt4lIvKKKxLrUwRIxh6B1XyFK8pmEgDYllCupFQ1eQGQLXMbEtSa3scHGzpk8sxQr8o/D9GD+IkYbAdc2Mh2wgEaRZFG+aEssyQZikKN5657tcuXadl1+58Uz66gsLZenXq0V0nUPNa2stLly8yEsvvUSr1aReq+J5DoWCR61W44033qDRaFCpVLJSugk//fHfMZvNCKOEa5euagPeaGI7nnahM1qRaZgZwRsQglTp86ZJytHhI05OTuh2u1y7do2tjQ1KhSLdTg0pJaPJjF5/RDAbEEz6xMEUz4qwsoIfw64gDQvDcvAck1LB5I0LLtWipOgucTZNEVqlKmV4Wsa6cRwThM7DGJkLnqSK2TziwUGfw9MxHz/o052kjH2DKBUoZZyzI19IKLDEuoIgIAhC4jjBsmwazSbbW9ts72xTKno4tpnxZ01KpRJvvvkmV65cYXNzE9/36fV6vPvuv+MnXeJkzub2BZqNJo7rZjZD4tgmtm1j29aifBu0G5tfx3w+o9s54/DwkN2dbcqlIqVSCc/ziJOUjz/+iE5nxOPDI2bzGXEYULJDHEvgWBJlm0jLxXIkpYKkUUrZrqdYpmY55sj0k4k2KVnQmQxTLiKYHIpJEkUYJwzGPvcfD7j3qM/DkxmhclGWS4qJ+hR+8ufaKScnJ3zyySf88z//M/fu3WM0mtBstigVy0jD5Pj4mEG/R7dzyu07d4jiGNM0mUynRHH81DGlEFiGQdlzqZULFEtlTZQwtPGUQpzb3iKDYZRKCcOIJI6JooiTkxN+8g//wHvvv893vvMdLuzs8Ls/+m0ajSqdzhlnp2cYhqYkHR08IAgDkjjkldduUKnWqdUa2JZJEvk8uH+Lx6MxBXPK21c8HEtiGPrkEp1tlHKJPD8LYv/w3ilHZxNu3jtj/3jG2Ifrr/9PvPr6DV6/8RaXLl36VKL35xJKGIYMh0MODg6YTHTl69bWNtVqFcd2CIOA8XhMr9fDdV0qjkOtVqNSqWA/oxxcZDdo2xa2rdkrOT94EZmzBCbz74hMWIYhMaQgSWJGwyFhGDIZj0nTlGq1guc5OI5DoVCgUiljWZbOfYQBcRyxtbVNpVKlUq0ihWQ2m+AnJmEIkdDwiGWorEYlK7vIUIMs2cjMj5j5EVM/IkkUUaK482jIWX/G2SjFKTUptapcvfYKV65e49KlS3o+7OfX9r+QUHJ7EkUamzo5OUEISblc5fr1V2g2m3iFAtPpmNl0ymg0Ynt7m9b6OpcuXWKj3V5Eq08KxTAMHMfGdR0cx848qlWUavlTqZyrK7EsTT+yTANBymzmM5lOmc3mOpgrFjOuGFiWSb1ep1arUq1WFsyarc1NCp6HVyiQJAlCCsLEIAkVYZIQRAmWmdGO0BxomS0WDUgmOqnVmXB4MmEWJEx8xaOTITM/JUhtXn71GrsXr/DOd77LzoULbG1tfeZ8v5BQBoMB/X6fjz76iIPDQ9I0pdFssr6+zuUrVwiCgPl8xmlmdCeTCbu7u7z00ku8/fbbeJ4uTT4+OeH4+JijoyMmU73Tchvgug62bZJD7UqpBTVE5L+iVZ7I4hTPdfA8F9d1FrFBLkaFDgDziNp1HaqVKs1GIwMrwbIykp+Ui5SAXoQarg+jhNDQ7HyBAYZEAvMsOOyP5uwd9njweMjxICU1ipheE7fRomhaVKsNvvu97/HSSy9x4cIujuO8yHRroSxK33Tm5ikQr9fr8fDRI27fucPx0TFpqnBdF69QxPVcxpMxw+GQbrfLaDTE931s26ZYLFKv1wGYzeecnp1x5+5d9vf3z30m5wcbxrKWMc2vZUFzf4KNKMSi9M62HYIgIU2ihWeYJEkWw9jYToxjOzi2rauoMhWUi2ERm2a7ME+QxYkiSlJkpM9qJIrUhOlcR+hH3Qln/Rn9sU8sShTLDdY2r2LZNrbt0Gg0uHjxEhsbm5RKpWe6v88VSpIkRFGE7/ukSi2+nIvmo48+5uc//6/8+Cc/QQpJrdagUCzhFYrEacrR8RGPHj7kwf09gkBD3mGoEzf5mM9mvPfee/zd3/89N2/e5PKlS1zY2WZjo43ruouK3/zccZzolHGq4fPz+Xj9i+s6FIslyuUaUaS0To8igiBgOp3hFYrU6ylxqUy5VMaxbczs+OrckXJbJbWuD20EFmEMMtCRO76O3h0z5bg3oTuc8dHeGaNZwDxMuHh1m+uvv80Pf/ePqVbr2I6DZX12T5jnCqXT6bD34AE//8UvmM/nFDwP01hO0OHBAUdHRzSaa9RqNXZ3L7G1s0OpVF7cmWmaXLx4kZ2dbS5d3OU3fuM3aLVa58+mFIYQuLbN66++yuWLF7l69crCUTBNuSgOVUqrKG3PUlSqEQCl0kXKdnNzQ7vLUnLnzl329u5zb+8eg+GAg8NDtja3qFTKbLXXKRYL+ngrwlhkNdG1i+VikTfeeJ1Bd43xsMPNg7sksb9I00qh09jTecg8SOnOPVIKCMegN/C5+cFNjg+PePs3v8/m9i7Xrr/+DFL5CwplMp1ycHDAz3/xC6aTCWvNNTzXw8yqoebzOVEc02q1WF9vc+nyZer1BqZlLZavlJJms8n169f5zjtv02q1zul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      "text/plain": [
       "<Figure size 750x600 with 20 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "warnings.filterwarnings('ignore')\n",
    "d2l.set_figsize((4, 4))\n",
    "for X, y in data_iter:\n",
    "    imgs = X[:20,:,:,:].permute(0, 2, 3, 1)/2+0.5\n",
    "    d2l.show_images(imgs, num_rows=4, num_cols=5)\n",
    "    break"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "85aa649d",
   "metadata": {
    "origin_pos": 16
   },
   "source": [
    "## The Generator\n",
    "\n",
    "The generator needs to map the noise variable $\\mathbf z\\in\\mathbb R^d$, a length-$d$ vector, to a RGB image with width and height to be $64\\times 64$ . In :numref:`sec_fcn` we introduced the fully convolutional network that uses transposed convolution layer (refer to :numref:`sec_transposed_conv`) to enlarge input size. The basic block of the generator contains a transposed convolution layer followed by the batch normalization and ReLU activation.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "f7a0afc1",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2023-08-18T20:06:07.200147Z",
     "iopub.status.busy": "2023-08-18T20:06:07.199544Z",
     "iopub.status.idle": "2023-08-18T20:06:07.206016Z",
     "shell.execute_reply": "2023-08-18T20:06:07.205105Z"
    },
    "origin_pos": 18,
    "tab": [
     "pytorch"
    ]
   },
   "outputs": [],
   "source": [
    "class G_block(nn.Module):\n",
    "    def __init__(self, out_channels, in_channels=3, kernel_size=4, strides=2,\n",
    "                 padding=1, **kwargs):\n",
    "        super(G_block, self).__init__(**kwargs)\n",
    "        self.conv2d_trans = nn.ConvTranspose2d(in_channels, out_channels,\n",
    "                                kernel_size, strides, padding, bias=False)\n",
    "        self.batch_norm = nn.BatchNorm2d(out_channels)\n",
    "        self.activation = nn.ReLU()\n",
    "\n",
    "    def forward(self, X):\n",
    "        return self.activation(self.batch_norm(self.conv2d_trans(X)))"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3642c936",
   "metadata": {
    "origin_pos": 20
   },
   "source": [
    "In default, the transposed convolution layer uses a $k_h = k_w = 4$ kernel, a $s_h = s_w = 2$ strides, and a $p_h = p_w = 1$ padding. With a input shape of $n_h^{'} \\times n_w^{'} = 16 \\times 16$, the generator block will double input's width and height.\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "n_h^{'} \\times n_w^{'} &= [(n_h k_h - (n_h-1)(k_h-s_h)- 2p_h] \\times [(n_w k_w - (n_w-1)(k_w-s_w)- 2p_w]\\\\\n",
    "  &= [(k_h + s_h (n_h-1)- 2p_h] \\times [(k_w + s_w (n_w-1)- 2p_w]\\\\\n",
    "  &= [(4 + 2 \\times (16-1)- 2 \\times 1] \\times [(4 + 2 \\times (16-1)- 2 \\times 1]\\\\\n",
    "  &= 32 \\times 32 .\\\\\n",
    "\\end{aligned}\n",
    "$$\n"
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  {
   "cell_type": "code",
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    {
     "data": {
      "text/plain": [
       "torch.Size([2, 20, 32, 32])"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "x = torch.zeros((2, 3, 16, 16))\n",
    "g_blk = G_block(20)\n",
    "g_blk(x).shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a635d43",
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   "source": [
    "If changing the transposed convolution layer to a $4\\times 4$ kernel, $1\\times 1$ strides and zero padding. With a input size of $1 \\times 1$, the output will have its width and height increased by 3 respectively.\n"
   ]
  },
  {
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    {
     "data": {
      "text/plain": [
       "torch.Size([2, 20, 4, 4])"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = torch.zeros((2, 3, 1, 1))\n",
    "g_blk = G_block(20, strides=1, padding=0)\n",
    "g_blk(x).shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d22cffc9",
   "metadata": {
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   "source": [
    "The generator consists of four basic blocks that increase input's both width and height from 1 to 32. At the same time, it first projects the latent variable into $64\\times 8$ channels, and then halve the channels each time. At last, a transposed convolution layer is used to generate the output. It further doubles the width and height to match the desired $64\\times 64$ shape, and reduces the channel size to $3$. The tanh activation function is applied to project output values into the $(-1, 1)$ range.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "a1c2c0d0",
   "metadata": {
    "execution": {
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   "source": [
    "n_G = 64\n",
    "net_G = nn.Sequential(\n",
    "    G_block(in_channels=100, out_channels=n_G*8,\n",
    "            strides=1, padding=0),                  # Output: (64 * 8, 4, 4)\n",
    "    G_block(in_channels=n_G*8, out_channels=n_G*4), # Output: (64 * 4, 8, 8)\n",
    "    G_block(in_channels=n_G*4, out_channels=n_G*2), # Output: (64 * 2, 16, 16)\n",
    "    G_block(in_channels=n_G*2, out_channels=n_G),   # Output: (64, 32, 32)\n",
    "    nn.ConvTranspose2d(in_channels=n_G, out_channels=3,\n",
    "                       kernel_size=4, stride=2, padding=1, bias=False),\n",
    "    nn.Tanh())  # Output: (3, 64, 64)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "a6af4be8",
   "metadata": {
    "origin_pos": 32
   },
   "source": [
    "Generate a 100 dimensional latent variable to verify the generator's output shape.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "37a418f7",
   "metadata": {
    "execution": {
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 3, 64, 64])"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "x = torch.zeros((1, 100, 1, 1))\n",
    "net_G(x).shape"
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  },
  {
   "cell_type": "markdown",
   "id": "5ffc5a24",
   "metadata": {
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   "source": [
    "## Discriminator\n",
    "\n",
    "The discriminator is a normal convolutional network network except that it uses a leaky ReLU as its activation function. Given $\\alpha \\in[0, 1]$, its definition is\n",
    "\n",
    "$$\\textrm{leaky ReLU}(x) = \\begin{cases}x & \\textrm{if}\\ x > 0\\\\ \\alpha x &\\textrm{otherwise}\\end{cases}.$$\n",
    "\n",
    "As it can be seen, it is normal ReLU if $\\alpha=0$, and an identity function if $\\alpha=1$. For $\\alpha \\in (0, 1)$, leaky ReLU is a nonlinear function that give a non-zero output for a negative input. It aims to fix the \"dying ReLU\" problem that a neuron might always output a negative value and therefore cannot make any progress since the gradient of ReLU is 0.\n"
   ]
  },
  {
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   "execution_count": 10,
   "id": "517f3614",
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     "shell.execute_reply": "2023-08-18T20:06:07.779422Z"
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    "alphas = [0, .2, .4, .6, .8, 1]\n",
    "x = torch.arange(-2, 1, 0.1)\n",
    "Y = [nn.LeakyReLU(alpha)(x).detach().numpy() for alpha in alphas]\n",
    "d2l.plot(x.detach().numpy(), Y, 'x', 'y', alphas)"
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    "The basic block of the discriminator is a convolution layer followed by a batch normalization layer and a leaky ReLU activation. The hyperparameters of the convolution layer are similar to the transpose convolution layer in the generator block.\n"
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   "source": [
    "class D_block(nn.Module):\n",
    "    def __init__(self, out_channels, in_channels=3, kernel_size=4, strides=2,\n",
    "                padding=1, alpha=0.2, **kwargs):\n",
    "        super(D_block, self).__init__(**kwargs)\n",
    "        self.conv2d = nn.Conv2d(in_channels, out_channels, kernel_size,\n",
    "                                strides, padding, bias=False)\n",
    "        self.batch_norm = nn.BatchNorm2d(out_channels)\n",
    "        self.activation = nn.LeakyReLU(alpha, inplace=True)\n",
    "\n",
    "    def forward(self, X):\n",
    "        return self.activation(self.batch_norm(self.conv2d(X)))"
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   "source": [
    "A basic block with default settings will halve the width and height of the inputs, as we demonstrated in :numref:`sec_padding`. For example, given a input shape $n_h = n_w = 16$, with a kernel shape $k_h = k_w = 4$, a stride shape $s_h = s_w = 2$, and a padding shape $p_h = p_w = 1$, the output shape will be:\n",
    "\n",
    "$$\n",
    "\\begin{aligned}\n",
    "n_h^{'} \\times n_w^{'} &= \\lfloor(n_h-k_h+2p_h+s_h)/s_h\\rfloor \\times \\lfloor(n_w-k_w+2p_w+s_w)/s_w\\rfloor\\\\\n",
    "  &= \\lfloor(16-4+2\\times 1+2)/2\\rfloor \\times \\lfloor(16-4+2\\times 1+2)/2\\rfloor\\\\\n",
    "  &= 8 \\times 8 .\\\\\n",
    "\\end{aligned}\n",
    "$$\n"
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    "tab": [
     "pytorch"
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   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([2, 20, 8, 8])"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = torch.zeros((2, 3, 16, 16))\n",
    "d_blk = D_block(20)\n",
    "d_blk(x).shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8818783f",
   "metadata": {
    "origin_pos": 47
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   "source": [
    "The discriminator is a mirror of the generator.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "8f0ee526",
   "metadata": {
    "execution": {
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   "source": [
    "n_D = 64\n",
    "net_D = nn.Sequential(\n",
    "    D_block(n_D),  # Output: (64, 32, 32)\n",
    "    D_block(in_channels=n_D, out_channels=n_D*2),  # Output: (64 * 2, 16, 16)\n",
    "    D_block(in_channels=n_D*2, out_channels=n_D*4),  # Output: (64 * 4, 8, 8)\n",
    "    D_block(in_channels=n_D*4, out_channels=n_D*8),  # Output: (64 * 8, 4, 4)\n",
    "    nn.Conv2d(in_channels=n_D*8, out_channels=1,\n",
    "              kernel_size=4, bias=False))  # Output: (1, 1, 1)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8e90b223",
   "metadata": {
    "origin_pos": 51
   },
   "source": [
    "It uses a convolution layer with output channel $1$ as the last layer to obtain a single prediction value.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "744b5c08",
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    "tab": [
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   "outputs": [
    {
     "data": {
      "text/plain": [
       "torch.Size([1, 1, 1, 1])"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x = torch.zeros((1, 3, 64, 64))\n",
    "net_D(x).shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "58ab33e5",
   "metadata": {
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   "source": [
    "## Training\n",
    "\n",
    "Compared to the basic GAN in :numref:`sec_basic_gan`, we use the same learning rate for both generator and discriminator since they are similar to each other. In addition, we change $\\beta_1$ in Adam (:numref:`sec_adam`) from $0.9$ to $0.5$. It decreases the smoothness of the momentum, the exponentially weighted moving average of past gradients, to take care of the rapid changing gradients because the generator and the discriminator fight with each other. Besides, the random generated noise `Z`, is a 4-D tensor and we are using GPU to accelerate the computation.\n"
   ]
  },
  {
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   "execution_count": 15,
   "id": "5f8d5c6e",
   "metadata": {
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   "source": [
    "def train(net_D, net_G, data_iter, num_epochs, lr, latent_dim,\n",
    "          device=d2l.try_gpu()):\n",
    "    loss = nn.BCEWithLogitsLoss(reduction='sum')\n",
    "    for w in net_D.parameters():\n",
    "        nn.init.normal_(w, 0, 0.02)\n",
    "    for w in net_G.parameters():\n",
    "        nn.init.normal_(w, 0, 0.02)\n",
    "    net_D, net_G = net_D.to(device), net_G.to(device)\n",
    "    trainer_hp = {'lr': lr, 'betas': [0.5,0.999]}\n",
    "    trainer_D = torch.optim.Adam(net_D.parameters(), **trainer_hp)\n",
    "    trainer_G = torch.optim.Adam(net_G.parameters(), **trainer_hp)\n",
    "    animator = d2l.Animator(xlabel='epoch', ylabel='loss',\n",
    "                            xlim=[1, num_epochs], nrows=2, figsize=(5, 5),\n",
    "                            legend=['discriminator', 'generator'])\n",
    "    animator.fig.subplots_adjust(hspace=0.3)\n",
    "    for epoch in range(1, num_epochs + 1):\n",
    "        # Train one epoch\n",
    "        timer = d2l.Timer()\n",
    "        metric = d2l.Accumulator(3)  # loss_D, loss_G, num_examples\n",
    "        for X, _ in data_iter:\n",
    "            batch_size = X.shape[0]\n",
    "            Z = torch.normal(0, 1, size=(batch_size, latent_dim, 1, 1))\n",
    "            X, Z = X.to(device), Z.to(device)\n",
    "            metric.add(d2l.update_D(X, Z, net_D, net_G, loss, trainer_D),\n",
    "                       d2l.update_G(Z, net_D, net_G, loss, trainer_G),\n",
    "                       batch_size)\n",
    "        # Show generated examples\n",
    "        Z = torch.normal(0, 1, size=(21, latent_dim, 1, 1), device=device)\n",
    "        # Normalize the synthetic data to N(0, 1)\n",
    "        fake_x = net_G(Z).permute(0, 2, 3, 1) / 2 + 0.5\n",
    "        imgs = torch.cat(\n",
    "            [torch.cat([\n",
    "                fake_x[i * 7 + j].cpu().detach() for j in range(7)], dim=1)\n",
    "             for i in range(len(fake_x)//7)], dim=0)\n",
    "        animator.axes[1].cla()\n",
    "        animator.axes[1].imshow(imgs)\n",
    "        # Show the losses\n",
    "        loss_D, loss_G = metric[0] / metric[2], metric[1] / metric[2]\n",
    "        animator.add(epoch, (loss_D, loss_G))\n",
    "    print(f'loss_D {loss_D:.3f}, loss_G {loss_G:.3f}, '\n",
    "          f'{metric[2] / timer.stop():.1f} examples/sec on {str(device)}')"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9d68ae67",
   "metadata": {
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   },
   "source": [
    "We train the model with a small number of epochs just for demonstration.\n",
    "For better performance,\n",
    "the variable `num_epochs` can be set to a larger number.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "6412895e",
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     "text": [
      "loss_D 0.023, loss_G 7.359, 2292.7 examples/sec on cuda:0\n"
     ]
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   "source": [
    "latent_dim, lr, num_epochs = 100, 0.005, 20\n",
    "train(net_D, net_G, data_iter, num_epochs, lr, latent_dim)"
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    "## Summary\n",
    "\n",
    "* DCGAN architecture has four convolutional layers for the Discriminator and four \"fractionally-strided\" convolutional layers for the Generator.\n",
    "* The Discriminator is a 4-layer strided convolutions with batch normalization (except its input layer) and leaky ReLU activations.\n",
    "* Leaky ReLU is a nonlinear function that give a non-zero output for a negative input. It aims to fix the “dying ReLU” problem and helps the gradients flow easier through the architecture.\n",
    "\n",
    "\n",
    "## Exercises\n",
    "\n",
    "1. What will happen if we use standard ReLU activation rather than leaky ReLU?\n",
    "1. Apply DCGAN on Fashion-MNIST and see which category works well and which does not.\n"
   ]
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     "pytorch"
    ]
   },
   "source": [
    "[Discussions](https://discuss.d2l.ai/t/1083)\n"
   ]
  }
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